GIS Based Site Selection of Traffic Sensor Based on MCDM Methods (TOPSIS, PROMETHEE and VIKOR)

Document Type : Original Article

Authors

1 M.Sc. Grad., Department of Surveying Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

2 , Associate professor, Center of Excellence in Geomatic Eng. in Disaster Management, Dept. Of Surveying and Geomatic Eng., College of Eng., University of Tehran, Tehran, Iran.

3 , Assistant professor, Department of Geodesy and Geomatics Engineering K.N. Toosi University of Technology, Tehran, Iran.

4 Professor, Center of Excellence in Control & Intelligent Processing, School of Electrical and Computer Eng., College of Eng., University of Tehran, Tehran, Iran.

Abstract

Smart traffic monitoring is a new method of traffic data acquisition. Traffic sensors are the core of such system in consequence optimum allocation of them increases efficiency of monitoring and decrease cost of installation. Although multi criteria decision making (MDCM) idea is a common method for this purpose, the big challenges is selection of the best MCDM method. Thus this paper tries to discuss advantages and disadvantages of different MCDM methods to determine proper mythology for optimum allocation of traffic sensors. To do the analysis a pilot junction in north of Washington was selected. In next step multi criteria decision making concepts were studied to compare urban links rank   a long selected junction, respecting final calculated weight based on AHP method .To do this step some multi criteria decision making method such as PROMETHEE and TOPSIS and VIKOR were compared for determination of optimum link for traffic sensor site selection.
 
 

Keywords

References

 
─  آذر،ع.، رجب زاده، ع.(1389)،"تصمیم گیری کاربردی رویکرد MADM"، انتشارات نگاه دانش.
 
─  رخساری، س.، دلاور، م.، صادقی نیارکی، ا.، ، مشیری، ب.(1391)، "تحلیل کیفیت اطلاعات در تعامل‌پذیری یک سیستم ترافیک شهری بر مبنای سیستم اطلاعات مکانی فراگستر"، دانشگاه تهران.
─  صادقی نیارکی، ا.، دلاور، م.، رخساری، س. (1393)، "مکانیابی بهینه حسگرهای مانیتورینگ ترافیکی با استفاده از روش سلسله مراتبی فازی و روش تاپسیس"، فصلنامه علمی و پژوهشی اطلاعات جغرافیایی سپهر،دوره 23،شماره 90،تابستان 93.
 
─  مومنی، م.، شریفی سلیم، ع.(1390)، "مدل­ها و نرم افزارهای تصمیم گیری چند معیاره"، انتشارات دانشگاه تهران.
 
─  مومنی، م.(1391)، "مباحث نوین تحقیق در عملیات".
 
─   Bruno, G., Esposito, E. ,Genovese, A. and Passaro, A (2012) AHP-based approaches for supplier evaluation: problems and perspectives, Journal of Purchasing & supply Management, Elsevier,Vol.18,PP. 159–172.
 
─   Habibian, M., Mesbah, M.and Sobhani, A. (2011), “Ranking of hazardous road locations in two-Lane two-way rural roads with no Crash Record”, Australasian Transport research forum, Adelaide, Australia, Publication website: http://www.patrec.org/atrf.aspx.
 
 
─   ITU-T technology watches briefing report series. (2008), Ubiquitous Sensor Networks (USN).
 
─   Ju, Y. and Wang, A. (2012), “Emergency alternative evaluation under group decision makers: A method of incorporating DS/AHP with extended TOPSIS, Journal of Expert Systems with Applications”, Vol.39,
pp.1315–1323.
 
 
─   Masaki ,Y.(2010), “An effective sink node allocation scheme for long-term operation of wireless sensor networks using adaptive suppression PSO, International Conference on Ubiquitous and Future Networks (ICUFN)”, IEE, South Korea, PP:92-97.
 
─   Mohammadi, E., Hunter, A. (2012), “Multi-Criteria path finding”, ISPRS Congress. Melbourne, Australia.
 
 
─   Moreira, M.P., Dupont, C.J.and Vellasco, M.M.B.R (2008), “PROMETHEE and Fuzzy PROMETHEE multi-criteria methods for ranking equipment failure modes”, Electrical Engineering Department, Pontifical Catholic university of Rio de Janeiro.
 
─   San, J.R. (2011), “Multi-criteria decision-making in the selection of a renewable energy project in Spain: The VIKOR method”, Journal of Renewable Energy, Vol. 36, pp.498–502.
 
─   Shoukry, F. (2005), “artificial neural network in classification of severity levels in crashes with Guardrail”, MSC. Degree thesis, Department of civil Engineering, West Viriginia.
 
 
─   Vikram, M. and Abu-Ghazaleh, N. (2010), “Scale target coverage in smart camera network, ICDSC”, Atlanta, USA.
 
─   Wang, G., Cao, G. and Porta, T. (2006), “Movement-assisted - sensor - deployment, IEEE, Transaction on Mobile computing”, Vol, 5, No.6, PP.640-652, Italy.
 
 

Files

Share

How to cite

Statistics